Location valise diagnostic à 95170 Deuil-la-barre

1. 0.0001

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='outillage-mecanique-automobile'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95170' AND ville_nom like '%deuil%la%barre%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%valise%diag%auto%' OR ssrubr_title like '%valise%diag%auto%' OR ssrubr_slug like '%valise%diag%auto%') AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0003

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='95170'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0592626854937 AND ville_longitude_deg<2.6073973145063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='valise diagnostique; valise diag auto; valise diag'

14. 0.002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227' AND ssrubr_id='874' AND wish_visu IN (1,6,10) AND wish_cp like '95170%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='valise diagnostique; valise diag auto; valise diag' OR ssrubr_slug='valise-diagnostique;-valise-diag-auto;-valise-diag' OR (ssrubr_title like '%valise diagnostique; valise diag auto; valise diag%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='valise-diag-auto' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95170'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0592626854937 AND ville_longitude_deg<2.6073973145063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.014

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.6481558054235 AND ville_longitude_deg<3.0185041945765 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0021

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='227' AND ssrubr_id='874' AND wish_visu IN (1,6,10) AND wish_cp IN (95170,95170,95410,95160,95880,95360,95230,93430,93380,95580,95350,95580,95350,95600,95200,95400,95210,95218,93800,95120,93240,95440,95680,93450,92390,95330,93200,93210,95460,92230,95400,95390,95140,95110,95320,95100,93440,95130,95570,95570,95130,95500,95570,95720,93350,95720,93120,93300,95500,92600,92270,95720,95560,93400,95560,92700,92110,95560,95840,95240,95500,92300,95550,95150,93150,93700,95870,95190,95250,93500,95720,95370,92250,95530,95500,95560,92400,95740,95190,95570,78500,95270,95590,95850,95840,93310,92200,78800,95220,95190,93000,95270,95480,95270,78420,93260,93230,95380,95540,93140,92000,95700,75012,75013,75014,75015,75016,75017,75018,75019,75020,75116,75011,75010,75001,75000,75002,75003,75004,75005,75006,75007,75008,75009,78600,93600,95850,93170,95380,93420,95430,95630,92500,93130,92800,92150,93100,95590,95430,78360,95270,95270,95270,93270,78600,95270,95270,95760,93320,93340,95380,95670,93250,94300,95290,95270,95270,95270,95380,95590,95270,92170,95470,93110,78700,95260,95620,95260,78400,95610,95380,95310,93190,93390,95660,94160,92100,92210,93410,93290,78110,93220,94120,94250,92120,95300,93360,92240,94270,94205,94200,77990,92130,95340,92380,94170,78560,95470,95300,93370,78230,78570,94220,95300,78380,78290,78780,78260,77181,93470,95000,77990,60260,95690,94130,78170) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (22107,93653,175989,218223,225367,279594,279641,289259,334923,162371,396659,548955)

23. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 22107 AND W.type_id = 1) OR (W.util_id <> 22107 AND W.type_id = 2)) AND (M.post_util_id = 22107 OR M.dest_util_id = 22107) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=22107 AND note_visu IN (1,3,4)

25. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 93653 AND W.type_id = 1) OR (W.util_id <> 93653 AND W.type_id = 2)) AND (M.post_util_id = 93653 OR M.dest_util_id = 93653) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=93653 AND note_visu IN (1,3,4)

27. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 175989 AND W.type_id = 1) OR (W.util_id <> 175989 AND W.type_id = 2)) AND (M.post_util_id = 175989 OR M.dest_util_id = 175989) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=175989 AND note_visu IN (1,3,4)

29. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 218223 AND W.type_id = 1) OR (W.util_id <> 218223 AND W.type_id = 2)) AND (M.post_util_id = 218223 OR M.dest_util_id = 218223) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=218223 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 225367 AND W.type_id = 1) OR (W.util_id <> 225367 AND W.type_id = 2)) AND (M.post_util_id = 225367 OR M.dest_util_id = 225367) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=225367 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 279594 AND W.type_id = 1) OR (W.util_id <> 279594 AND W.type_id = 2)) AND (M.post_util_id = 279594 OR M.dest_util_id = 279594) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=279594 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 279641 AND W.type_id = 1) OR (W.util_id <> 279641 AND W.type_id = 2)) AND (M.post_util_id = 279641 OR M.dest_util_id = 279641) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=279641 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 289259 AND W.type_id = 1) OR (W.util_id <> 289259 AND W.type_id = 2)) AND (M.post_util_id = 289259 OR M.dest_util_id = 289259) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=289259 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 334923 AND W.type_id = 1) OR (W.util_id <> 334923 AND W.type_id = 2)) AND (M.post_util_id = 334923 OR M.dest_util_id = 334923) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=334923 AND note_visu IN (1,3,4)

41. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 162371 AND W.type_id = 1) OR (W.util_id <> 162371 AND W.type_id = 2)) AND (M.post_util_id = 162371 OR M.dest_util_id = 162371) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=162371 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 396659 AND W.type_id = 1) OR (W.util_id <> 396659 AND W.type_id = 2)) AND (M.post_util_id = 396659 OR M.dest_util_id = 396659) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=396659 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 548955 AND W.type_id = 1) OR (W.util_id <> 548955 AND W.type_id = 2)) AND (M.post_util_id = 548955 OR M.dest_util_id = 548955) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=548955 AND note_visu IN (1,3,4)

47. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95170'

48. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0592626854937 AND ville_longitude_deg<2.6073973145063 HAVING distance <= 20 ORDER BY distance ASC

49. 0.0147

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.6481558054235 AND ville_longitude_deg<3.0185041945765 HAVING distance <= 50 ORDER BY distance ASC

50. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id IN (874)

51. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (225367,175989,218223,22107,334923,279594,548955,279641,289259,93653,396659,162371)

52. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (225367,175989,218223,22107,334923,279594,548955,279641,289259,93653,396659,162371)

53. 0.0002

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='valise diagnostique; valise diag auto; valise diag' OR ssrubr_slug like '%valise diagnostique; valise diag auto; valise diag%' OR MATCH (ssrubr_slug) AGAINST ('(+valise +diagnostique; +valise +diag +auto; +valise +diag)')) AND sk.ssrubr_id='874' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 5 AND ss.cate_id = 227 AND ss.ssrubr_id <> 874 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='874' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

57. 0.0002

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

58. 0.0002

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (227) ORDER BY ssrubr_order ASC

59. 0.0009

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

60. 0.0234

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

61. 0.0169

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

61 requetes sql en 0.0884